2008
DOI: 10.1086/588614
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2DPHOT: A Multi-Purpose Environment for the Two-Dimensional Analysis of Wide-Field Images

Abstract: We describe 2DPHOT, a general purpose analysis environment for source detection and analysis in deep wide-field images. 2DPHOT is an automated tool to obtain both integrated and surface photometry of galaxies in an image, to perform reliable star-galaxy separation with accurate estimates of contamination at faint flux levels, and to estimate completeness of the image catalog. We describe the analysis strategy on which 2DPHOT is based, and provide a detailed description of the different algorithms implemented i… Show more

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Cited by 81 publications
(117 citation statements)
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“…The sample galaxies are defined as bulge-dominated systems with passive spectra, while late-type systems are efficiently removed through the SDSS classification parameters based on the spectral type and the fraction of light that is better described by a de Vaucouleurs (1948) profile (see T+12 for further details). The structural parameters are measured using 2DPHOT (La Barbera et al 2008) and are found to be significantly different from the SDSS estimates (La Barbera et al 2010b). The sample is 95% complete at a stellar mass of M = 3 × 10 10 M , which corresponds to σ Ap ∼ 160 km s −1 .…”
Section: Data and Analysis Methodsmentioning
confidence: 90%
“…The sample galaxies are defined as bulge-dominated systems with passive spectra, while late-type systems are efficiently removed through the SDSS classification parameters based on the spectral type and the fraction of light that is better described by a de Vaucouleurs (1948) profile (see T+12 for further details). The structural parameters are measured using 2DPHOT (La Barbera et al 2008) and are found to be significantly different from the SDSS estimates (La Barbera et al 2010b). The sample is 95% complete at a stellar mass of M = 3 × 10 10 M , which corresponds to σ Ap ∼ 160 km s −1 .…”
Section: Data and Analysis Methodsmentioning
confidence: 90%
“…We start from a sample of ∼ 0.4 million galaxies with high-S/N , measured photometry and structural parameters in all the four bands. For a subsample of these galaxies, we have used the KiDS photometry to estimate: 1) photometric redshifts based on machine learning techniques (Brescia et al 2014;Cavuoti et al 2015); 2) structural parameters using the software 2DPHOT (La Barbera et al 2008); 3) stellar masses, fitting colours with SPS model predictions. The resulting sample is > 90% complete down to an r-band magnitude ∼ 21, and down to a stellar mass of 3 − 5 × 10 10 M⊙, up to a redshift z ∼ 0.5.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, we have finally gathered those systems with the highest S/N in the r-band images, S/N r ≡ 1/MAGERR_AUTO_r> 50 (La Barbera et al 2008Barbera et al , 2010Roy et al 2016, in preparation). This sample consists of ∼ 380 000 galaxies.…”
Section: Kids High Signal-to-noise Galaxy Samplementioning
confidence: 99%
“…The publicly available SPIDER sample includes 39993 passive galaxies selected from SDSS Data Release 6 (DR6), among them 5080 are in the near-infrared UKIRT Infrared Deep Sky Survey-Large Area Survey Data release (UKIDSS-LAS DR4) in the redshift range of 0.05 to 0.095. La Barbera et al (2010b) derived structural parameters in all available bands (grizY JHK) with single Sérsic fitting with 2DPhot (La Barbera et al 2008).…”
Section: Local Comparison Samplementioning
confidence: 99%